Update README.md

README.md

@@ -29,7 +29,7 @@ model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloa
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 ```
 
-Alternatively, you can run the model using unsloth on a single 80GB GPU using the [low-rank adapter](https://huggingface.co/marcelbinz/Llama-3.1-Centaur-70B-adapter).
+You can alternatively run the model with unsloth on a single 80GB GPU using the [low-rank adapter](https://huggingface.co/marcelbinz/Llama-3.1-Centaur-70B-adapter).
 
 
 ### Licensing Information
@@ -38,6 +38,16 @@ Alternatively, you can run the model using unsloth on a single 80GB GPU using th
 
 ### Citation Information
 
-Forthcoming.
+```
+@misc{binz2024centaurfoundationmodelhuman,
+      title={Centaur: a foundation model of human cognition}, 
+      author={Marcel Binz and Elif Akata and Matthias Bethge and Franziska Brändle and Fred Callaway and Julian Coda-Forno and Peter Dayan and Can Demircan and Maria K. Eckstein and Noémi Éltető and Thomas L. Griffiths and Susanne Haridi and Akshay K. Jagadish and Li Ji-An and Alexander Kipnis and Sreejan Kumar and Tobias Ludwig and Marvin Mathony and Marcelo Mattar and Alireza Modirshanechi and Surabhi S. Nath and Joshua C. Peterson and Milena Rmus and Evan M. Russek and Tankred Saanum and Natalia Scharfenberg and Johannes A. Schubert and Luca M. Schulze Buschoff and Nishad Singhi and Xin Sui and Mirko Thalmann and Fabian Theis and Vuong Truong and Vishaal Udandarao and Konstantinos Voudouris and Robert Wilson and Kristin Witte and Shuchen Wu and Dirk Wulff and Huadong Xiong and Eric Schulz},
+      year={2024},
+      eprint={2410.20268},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2410.20268}, 
+}
+```
 
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